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An Economic Comparison between Alternative Rice Farming Systems in Tanzania Using a Monte Carlo Simulation Approach
Environmental Studies rice management practices risk Monte Carlo simulation stochastic variables Tanzania Food security Agricultural practices Food production Cereals Risk analysis Climate change Computer simulation COVID-19 Farms Sustainable agriculture Harvesting Farmers Decision analysis Food Fertilizers Risk management Income Agricultural management Agricultural production Households Seeds Farm management Random variables Poverty Corn Productivity Irrigation Decision making Modernization Agricultural economics Farming Rain ; 2020(Sustainability)
Article in English | ProQuest Central/null/20null" | ID: covidwho-826809
ABSTRACT
Tanzania is the second-largest producer of rice (Oryza sativa) in Eastern, Central, and Southern Africa after Madagascar. Unfortunately, the sector has been performing poorly due to many constraints, including poor agricultural practices and climate variability. In addressing the challenge, the government is making substantial investments to speed the agriculture transformation into a more modernized, commercial, and highly productive and profitable sector. Our objective was to apply a Monte Carlo simulation approach to assess the economic feasibility of alternative rice farming systems operating in Tanzania while considering risk analysis for decision-makers with different risk preferences to make better management decisions. The rice farming systems in this study comprise rice farms using traditional practices and those using some or all of the recommended system of rice intensification (SRI) practices. The overall results show 2% and zero probability of net cash income (NCI) being negative for partial and full SRI adopters, respectively. Meanwhile, farmers using local and improved seeds have 66% and 60% probability of NCI being negative, correspondingly. Rice farms which applied fertilizers in addition to improved seeds have a 21% probability of negative returns. Additionally, net income for rice farms using local seeds was slightly worthwhile when the transaction made during the harvesting period compared to farms applied improved varieties due to a relatively high price for local seeds. These results help to inform policymakers and agencies promoting food security and eradication of poverty on the benefits of encouraging improved rice farming practices in the country. Despite climate variability, in Tanzania, it is still possible for rice farmers to increase food production and income through the application of improved technologies, particularly SRI management practices, which have shown a promising future.
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Full text: Available Collection: Databases of international organizations Database: Null Type of study: Prognostic study Language: English Journal: Environmental Studies rice management practices risk Monte Carlo simulation stochastic variables Tanzania Food security Agricultural practices Food production Cereals Risk analysis Climate change Computer simulation COVID-19 Farms Sustainable agriculture Harvesting Farmers Decision analysis Food Fertilizers Risk management Income Agricultural management Agricultural production Households Seeds Farm management Random variables Poverty Corn Productivity Irrigation Decision making Modernization Agricultural economics Farming Rain Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Null Type of study: Prognostic study Language: English Journal: Environmental Studies rice management practices risk Monte Carlo simulation stochastic variables Tanzania Food security Agricultural practices Food production Cereals Risk analysis Climate change Computer simulation COVID-19 Farms Sustainable agriculture Harvesting Farmers Decision analysis Food Fertilizers Risk management Income Agricultural management Agricultural production Households Seeds Farm management Random variables Poverty Corn Productivity Irrigation Decision making Modernization Agricultural economics Farming Rain Document Type: Article